Active Learning in Parallel Universes

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2010
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Cebron, Nicolas
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Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10. New York, New York, USA: ACM Press, 2010, pp. 1621-1624. ISBN 978-1-4503-0099-5. Available under: doi: 10.1145/1871437.1871688
Zusammenfassung

This work addresses two challenges in combination: learning with a very limited number of labeled training examples (active learning) and learning in the presence of multiple views for each object where the global model to be learned is spread out over some or all of these views (learning in parallel universes). We propose a new active learning approach which selects the best samples to query the label with the goal of improving overall model accuracy and determining which universe contributes most to the local model. The resulting combination and class-specific weighting of universes provides a significantly better classification accuracy than traditional active learning methods.

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the 19th ACM international conference, 26. Okt. 2010 - 30. Okt. 2010, Toronto, ON, Canada
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ISO 690CEBRON, Nicolas, Michael R. BERTHOLD, 2010. Active Learning in Parallel Universes. the 19th ACM international conference. Toronto, ON, Canada, 26. Okt. 2010 - 30. Okt. 2010. In: Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10. New York, New York, USA: ACM Press, 2010, pp. 1621-1624. ISBN 978-1-4503-0099-5. Available under: doi: 10.1145/1871437.1871688
BibTex
@inproceedings{Cebron2010Activ-24312,
  year={2010},
  doi={10.1145/1871437.1871688},
  title={Active Learning in Parallel Universes},
  isbn={978-1-4503-0099-5},
  publisher={ACM Press},
  address={New York, New York, USA},
  booktitle={Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10},
  pages={1621--1624},
  author={Cebron, Nicolas and Berthold, Michael R.}
}
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